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An operatorial model for complex political system dynamics
Author(s) -
Di Salvo Rosa,
Oliveri Francesco
Publication year - 2017
Publication title -
mathematical methods in the applied sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 65
eISSN - 1099-1476
pISSN - 0170-4214
DOI - 10.1002/mma.4417
Subject(s) - observable , openness to experience , quadratic equation , operator (biology) , mathematics , politics , sort , hamiltonian (control theory) , system dynamics , dynamics (music) , statistical physics , mathematical economics , theoretical physics , law , computer science , mathematical optimization , political science , sociology , social psychology , physics , quantum mechanics , psychology , artificial intelligence , geometry , pedagogy , repressor , chemistry , arithmetic , biochemistry , transcription factor , gene
This paper presents an operatorial model based on fermionic operators for the description of the dynamics of political parties affected by turncoat‐like behaviors. By observing the political landscape in place in Italy over the last years, appropriate macro‐groups have been identified on the basis of the behavior of politicians in terms of disloyal attitude as well as openness towards accepting chameleons from other parties. Once introduced, a time‐dependent number‐like operator for each physical observable relevant for the description of the political environment, the analysis of the party system dynamics is carried out by combining the action of a quadratic Hamiltonian operator with certain rules acting periodically on the system in such a way that the parameters entering the model are repeatedly changed so as to express a sort of dependence of them upon the variations of the mean values of the observables. Copyright © 2017 John Wiley & Sons, Ltd.